frompyspark.sqlimportSparkSessionfrompyspark.sql.functionsimportexplode,col# 创建 SparkSessionspark=SparkSession.builder.appName("Explode Example").getOrCreate()# 示例数据data=[(1,"Alice",["Reading","Traveling"]),(2,"Bob",["Music","Cooking"]),(3,"Charlie",["Sports"])]# 创建 DataFramedf=...
PYSPARK EXPLODE is an Explode function that is used in the PySpark data model to explode an array or map-related columns to row in PySpark. It explodes the columns and separates them not a new row in PySpark. It returns a new row for each element in an array or map. It takes the co...
You may also want to check out all available functions/classes of the module pyspark.sql.functions , or try the search function . Example #1Source File: feature_vectors.py From search-MjoLniR with MIT License 6 votes def resample_clicks_to_query_page( df_cluster: DataFrame, random_seed: ...
有什么建议吗? sqlpysparkapache-spark-sql 来源:https://stackoverflow.com/questions/63231127/cant-write-dataframe-after-using-explode-function-on-multiple-columns 关注 举报暂无答案! 目前还没有任何答案,快来回答吧! 我来回答 相关问题 查看更多 热门标签更多 JavaquerypythonNode开发语言requestUtil数据库Table...
Problem: How to explode & flatten nested array (Array of Array) DataFrame columns into rows using PySpark. Solution: PySpark explode function can be
# Use DataFrame.explode() Function & ignore_indexdf2=df.explode(list('AC'),ignore_index=True)print(df2) Yields below output. # Output:A B C 0 Spark 25000 30days 1 PySpark 25000 40days 2 Python 25000 35days 3 Course 25000 NaN 4 NaN 25000 NaN 5 Java 25000 40days 6 pandas 25000 55...